Implementation Of Data Mining For Determining Majors Using K-Means Algorithm In Students Of SMA Negeri 1 Pangkalan Kerinci

Authors

  • Yuda Irawan STMIK Hang Tuah Pekanbaru

DOI:

https://doi.org/10.37385/jaets.v1i1.18

Keywords:

Data Mining, K-Mean Algorithm, Senior High School, Majors, K-Mean, CRISP-DM

Abstract

SMA Negeri 1 Pangkalan kerinci is one of the middle schools located at Jalan Lintas Timur Kerinci Pelalawan Indonesia which currently has 2 majors namely Science and IPS. This student majors can lead learners to focus more on developing their own abilities and interests. Selection of inappropriate majors can be very detrimental to students of their interests and careers in the future. With the majors are expected to maximize the potential, talent or individual talents, so as to maximize academic value. Based on the background, then by applying data mining techniques are expected to help students to determine the correct majors in accordance with the criteria set. Data mining techniques used in the determination of this department using K-Means Algorithm.

Downloads

Download data is not yet available.

References

Aranda, J., & Natasya, W. A. G. (2016). Penerapan Metode K-Means Cluster Analysis pada Sistem Pendukung Keputusan Pemilihan Konsentrasi Untuk Mahasiswa International Class STMIK Amikom Yogyakarta. Seminar Nasional Teknologi Informasi dan Multimedia 2016, di Yogyakarta, 6-7 Februari 2016.

Irawan, Y. (2019). Penerapan Data Mining Untuk Evaluasi Data Penjualan Menggunakan Metode Clustering Dan Algoritma Hirarki Divisive Di Perusahaan Media World Pekanbaru. Jurnal Teknologi Informasi Universitas Lambung Mangkurat (Jtiulm), 4(1), 13-20.

Nurhayati & Pratiwi, L. A. (2015). Penerapan Algoritma K-Means dalam Data Mining untuk Peminatan Jurusan Bagi Siswa Kelas X (Studi Kasus: SMA Negeri 29 Jakarta). Prosiding Seminar Ilmiah Nasional Teknologi Komputer (SENATKOM 2015) Oktober 2015, 1, 9-13.

Ong, J. O. (2013). Implementasi Algoritma K-Means Clustering Untuk Menentukan Strategi Marketing President University. Jurnal Ilmiah Teknik Industri, 12(1), 10-20.

Purnamaningsih, C., Saptono, R., & Azis, A. (2014). Pemanfaatan Metode K-Means Clustering dalam Penentuan Penjurusan Siswa SMA. ITSMART: Jurnal Teknologi dan Informasi, 3(1), 27-33.

Putra, R., & Wadisman, C. (2018). Implementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K Means. INTECOMS: Journal of Information Technology and Computer Science, 1(1), 72-77. https://doi.org/https://doi.org/10.31539/intecoms.v1i1.141

Rahayu, N. (2019). Sistem Pakar IQ Dalam Pengelompokan Anak Reterdasi Mental Dengan Algoritma K-Means. INTECOMS: Journal of Information Technology and Computer Science, 2(1), 17-32. https://doi.org/https://doi.org/10.31539/intecoms.v2i1.659

Sulistiyani, M. E., Soedijono, B., & Syahdan, S. A. (2015). Sistem Penentuan Jurusan Sekolah Menengah Atas Negeri 1 Karangmojo. Seminar Nasional Teknologi Informasi dan Multimedia 2015, 3(1), 247-252.

Yunefri, Y., Pane, E., & Sutejo, S. (2019). Pengembangan Sistem Pengelompokan Belajar Mahasiswa Pada Matakuliah Struktur Data Dengan Metode K-Means. INTECOMS: Journal of Information Technology and Computer Science, 2(2), 59-66. https://doi.org/https://doi.org/10.31539/intecoms.v2i2.812

Downloads

Published

2019-12-01

How to Cite

Yuda Irawan. (2019). Implementation Of Data Mining For Determining Majors Using K-Means Algorithm In Students Of SMA Negeri 1 Pangkalan Kerinci. Journal of Applied Engineering and Technological Science (JAETS), 1(1), 17–29. https://doi.org/10.37385/jaets.v1i1.18